Digital Transformation

This evolution of healthcare involves using technology to improve diagnosis, treatments, monitor patients, enhance hospital operations and culture, and bolster consumer-focused care. This includes virtual reality tools, wearable devices, workflow software, health apps and other digital health tools.

Nurse leader AI acceptance buy-in

Nurse educator: To secure staff buy-in on AI, apply Gartner’s Hype Cycle

Nurse leaders seeking AI acceptance from those they lead would do well to apply psychological insights along with technical tips.  

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Healthcare AI today: Bad health advice, ChatGPT 5 ‘highly reliable’ for healthcare, Colorado punts, more

Accepting medical guidance from a large language model landed a 60-year-old man in the emergency room. 

medical tourist

AI-aided marketing is driving medical tourism upward, onward

From boutique clinics in Mexico to medical spas in Europe to top-tier academic medical centers in the U.S., healthcare organizations courting medical tourists are enjoying boom times.

Domo Origato Mr Roboto

Healthcare AI today: AMA drills into Trump plan, Illinois forbids AI talk therapy, Mayo Clinic speeds ahead (again)

The AMA doesn’t refute much of the Trump AI Action Plan so much as amplify some of its talking points. One exception is the plan’s open disdain for ‘woke’ AI.

newborn sibling nurse

4 ways clinical AI can complement—rather than compete with—patient-centered care

If humanistic medicine is to endure the slow-motion AI tsunami flooding the healthcare landscape, humans will have to see those two forces—humanistic medicine and healthcare AI—not as oppositional to each other but as potentially synergistic. 

patients who write online reviews of providers

What providers should know about patients who post healthcare reviews online

When dissatisfied patients slam provider entities in online reviews, they tend to focus on administrative frustrations and thwarted requests. By contrast, satisfied healthcare consumers write quick, list-like rundowns of things that pleased them. 

tech person

Healthcare AI today: Whom to sue, invite into AI governance and altogether avoid (unless you want a new religion)

The question of legal responsibility for AI gone wrong in healthcare remains unsettled. The only sure thing is a lot of finger pointing.